Abstract:
The present invention discloses a method for measuring user quality of experience QoE, where the method includes the following steps: receiving event information sent by a receiving end, where the event information includes condition information for determining a cause for shortage of valid media data in a buffer of the receiving end; determining, according to the condition information, whether the shortage of the valid media data in the buffer of the receiving end is caused by a service system or caused by a user's action; and measuring QoE decrease degrees according to different causes for the shortage of the valid media data in the buffer, respectively.
Abstract:
Embodiments of the present invention provide a method and an apparatus for evaluating audio stream quality, where the method for evaluating audio stream quality includes: determining at least one non-silence audio data packet in a to-be-evaluated audio stream, where the to-be-evaluated audio stream includes at least one non-silence audio data packet, and each non-silence audio data packet includes at least one non-silence audio frame; and evaluating the at least one non-silence audio data packet in the to-be-evaluated audio stream to generate audio quality evaluation information. The method and the apparatus for evaluating audio stream quality provided by the embodiments of the present invention can avoid impact of a silence part on evaluation of audio quality, thereby improving accuracy of evaluating audio stream quality.
Abstract:
A video quality assessment method and a video quality assessment apparatus are provided. The method includes: acquiring parameter information of video data, where the parameter information includes a bit rate, a frame rate, and packet information; performing calculation according to the bit rate or the frame rate to obtain benchmark video quality of the video data; calculating the number of successively lost packets according to the packet information, and calculating the number of effective packet loss times; performing calculation according to the number of effective packet loss times to obtain video packet loss and distortion quality of the video data; and performing calculation according to the benchmark video quality and the video packet loss and distortion quality to obtain final video quality. Using the number of effective packet loss times can accurately assess videos more effectively and reduce algorithm complexity.
Abstract:
The present invention discloses a method for measuring user quality of experience QoE, where the method includes the following steps: receiving event information sent by a receiving end, where the event information includes condition information for determining a cause for shortage of valid media data in a buffer of the receiving end; determining, according to the condition information, whether the shortage of the valid media data in the buffer of the receiving end is caused by a service system or caused by a user's action; and measuring QoE decrease degrees according to different causes for the shortage of the valid media data in the buffer, respectively. In the method for measuring QoE according to embodiments of the present invention, shortage of valid media data in a buffer of a receiving end caused by a service system problem and shortage of valid media data in the buffer of the receiving end caused by a user's action are distinguished, and QoE decrease degrees are measured according to different causes for the shortage of the valid media data in the buffer, respectively, so that QoE is measured more accurately and more objectively, and network resources can be used properly.
Abstract:
A method and a device for assessing video encoding quality. The method includes: acquiring a quantization parameter of a slice of a video frame and a quantity of bytes per pixel of the slice of the video frame of the video stream; determining complexity of content of the video according to the quantity of bytes per pixel of the slice of the video frame of the video stream; and predicting the video encoding quality according to the complexity of content of the video and the quantization parameter of the video. In the present invention, the complexity of content of the video is also considered in predicting the video encoding quality. Therefore, encoding quality predicted by a model that is obtained by considering the complexity of content of the video better satisfies subjective feelings of human eyes, thereby improving accuracy of prediction.
Abstract:
In a method for evaluating media quality, media reference quality and rebuffering event distortion quality are obtained, final media quality are determined according to the obtained media reference quality and rebuffering event distortion quality, where a parameter of the rebuffering event distortion quality includes at least one of the following: the number of rebuffering events, a duration of the rebuffering event, a multiple rebuffering event interaction impact parameter, initial media quality, and a factor describing media content complexity. When media quality is calculated, impact of the multiple rebuffering event interaction impact parameter, the initial media quality, and the factor describing media content complexity on the media quality is considered, thereby making a media quality evaluation result more accurate.
Abstract:
Embodiments of the present invention provide frame type detection and frame size detection methods and apparatuses for a video stream. The video frame type detection method includes: obtaining a size of a current video frame; obtaining a change feature value of the current video frame; obtaining an I-frame threshold of the current video frame; and determining whether the previous first video frame is an I frame according to the change feature value of the current video frame and a change feature value of the previous first video frame, the I-frame threshold of the current video frame, and the size of the current video frame, the size of the previous first video frame, and a size of a previous second video frame. The present invention provides a complete and effective frame type detection method; in addition, impact of a video frame rate is fully considered.
Abstract:
The present invention discloses a method for measuring user quality of experience QoE, where the method includes the following steps: receiving event information sent by a receiving end, where the event information includes condition information for determining a cause for shortage of valid media data in a buffer of the receiving end; determining, according to the condition information, whether the shortage of the valid media data in the buffer of the receiving end is caused by a service system or caused by a user's action; and measuring QoE decrease degrees according to different causes for the shortage of the valid media data in the buffer, respectively.
Abstract:
A video quality assessment method and a video quality assessment apparatus are provided. The method includes: acquiring parameter information of video data, where the parameter information includes a bit rate, a frame rate, and packet information; performing calculation according to the bit rate or the frame rate to obtain benchmark video quality of the video data; calculating the number of successively lost packets according to the packet information, and calculating the number of effective packet loss times; performing calculation according to the number of effective packet loss times to obtain video packet loss and distortion quality of the video data; and performing calculation according to the benchmark video quality and the video packet loss and distortion quality to obtain final video quality. Using the number of effective packet loss times can accurately assess videos more effectively and reduce algorithm complexity.
Abstract:
Embodiments of the present invention disclose a method and an apparatus for obtaining a video quality parameter and an electronic device. The method includes dividing a target video segment into at least one video subsegment, where duration of every video subsegment is at least time perceivable by human eyes; obtaining a video quality parameter of the video subsegment; and processing the video quality parameter of the video subsegment, and obtaining a video quality parameter of the target video segment.